{
 "id": "IoT-Brain/TopoSense-Bench",
 "owner": "IoT-Brain",
 "name": "TopoSense-Bench",
 "downloads": 144,
 "likes": 2,
 "last_modified": "2025-12-10T02:00:00.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation",
  "question-answering",
  "robotics",
  "reinforcement-learning",
  "graph-ml"
 ],
 "citation": "@inproceedings{iotbrain2026,\n  title={IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling},\n  author={Anonymous Author(s)},\n  booktitle={Proceedings of the 32nd Annual International Conference on Mobile Computing and Networking (MobiCom '26)},\n  year={2026},\n  publisher={ACM}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "ce96d5c2adcd57416f4b4dcce4e36b0472a1ac56",
 "stated_evidence": "https://huggingface.co/datasets/IoT-Brain/TopoSense-Bench/blob/ce96d5c2adcd57416f4b4dcce4e36b0472a1ac56/README.md",
 "file_evidence": "https://huggingface.co/datasets/IoT-Brain/TopoSense-Bench/tree/ce96d5c2adcd57416f4b4dcce4e36b0472a1ac56",
 "card_nc": false
}